This report has been automatically generated by the mspms package. It contains standard results of the mspms analysis pipeline.
R session info is as follows:
## R version 4.1.1 (2021-08-10)
## Platform: x86_64-apple-darwin17.0 (64-bit)
## Running under: macOS 13.1
##
## Matrix products: default
## LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
##
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] mspms_0.99.0 lubridate_1.9.3 forcats_1.0.0 stringr_1.5.1 dplyr_1.1.4
## [6] purrr_1.0.2 readr_2.1.5 tidyr_1.3.1 tibble_3.2.1 ggplot2_3.5.1
## [11] tidyverse_2.0.0
##
## loaded via a namespace (and not attached):
## [1] bslib_0.7.0 ggprism_1.0.5 tidyselect_1.2.1 xfun_0.44 carData_3.0-5
## [6] colorspace_2.1-0 vctrs_0.6.5 generics_0.1.3 htmltools_0.5.8.1 viridisLite_0.4.2
## [11] yaml_2.3.8 utf8_1.2.4 rlang_1.1.4 jquerylib_0.1.4 ggpubr_0.6.0
## [16] pillar_1.9.0 glue_1.7.0 withr_3.0.0 bit64_4.0.5 lifecycle_1.0.4
## [21] munsell_0.5.1 ggsignif_0.6.4 gtable_0.3.5 htmlwidgets_1.6.4 evaluate_0.24.0
## [26] knitr_1.47 tzdb_0.4.0 fastmap_1.2.0 parallel_4.1.1 fansi_1.0.6
## [31] broom_1.0.6 backports_1.5.0 scales_1.3.0 DT_0.33 cachem_1.1.0
## [36] jsonlite_1.8.8 vroom_1.6.5 abind_1.4-5 bit_4.0.5 gridExtra_2.3
## [41] hms_1.1.3 digest_0.6.35 stringi_1.8.4 rstatix_0.7.2 grid_4.1.1
## [46] cli_3.6.2 tools_4.1.1 sass_0.4.9 magrittr_2.0.3 crayon_1.5.2
## [51] car_3.1-2 pkgconfig_2.0.3 timechange_0.3.0 rmarkdown_2.27 rstudioapi_0.16.0
## [56] viridis_0.6.5 R6_2.5.1 compiler_4.1.1
# The standard mspms data processing pipeline is used here.
mspms_data = mspms::mspms(prepared_data,design_matrix)
mspms_data %>%
downloadthis::download_this(
output_name = "mspms_data",
output_extension = ".csv",
button_label = "Download data",
button_type = "warning",
has_icon = TRUE,
icon = "fa fa-save",
csv2 = FALSE
)